ggml llama: align structs for memory optimization on 64-bit platforms: #120
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Owner
Nexesenex
commented
May 15, 2024
Nexesenex
commented
- ggml_type_traits_t (80 -> 72 bytes)
- llama_batch (72 -> 64 bytes)
- llama_model_params (56 -> 48 bytes)
- hash_node (32 -> 24 bytes)
- ggml_compute_state (32 -> 24 bytes)
- gguf_tensor_info (88 -> 80 bytes)
- ggml_type_traits_t (80 -> 72 bytes) - llama_batch (72 -> 64 bytes) - llama_model_params (56 -> 48 bytes) - hash_node (32 -> 24 bytes) - ggml_compute_state (32 -> 24 bytes) - gguf_tensor_info (88 -> 80 bytes)
Nexesenex
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Dec 22, 2024
* Adding q8_0_r4 We get PP-512(LLaMA-3.1-8B) = 268 t/s on a Ryzen-7950X compared to 175.6 t/s for Q8_0. * q8_0_r4: NEON We get PP-512(LLaMA-3.1-8B) = 112.6 t/s on M2-Max. * q8_0_r4: Zen4 matrix-vector specialization --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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